John Simmers

740 citations
17 papers · 570 · h-index 16

Impact in

Papers in

John Simmers

17 papers receiving 562 citations

Peers

John Simmers
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 225
  • Cell Biology 184
  • Developmental Neuroscience 36
  • Neurology 71
  • Endocrine and Autonomic Systems 57
Replace Yuxiao Qin with:
Yuxiao Qin China
K. Muramoto Japan
Margarita Muñoz Spain
Jana P. Lim United States
Álvaro Rodríguez Spain
Barry Roberts United States
Seth S. Horowitz United States
Roshan A. Jain United States
Marvin W. Luttges United States
Takashi Yoshida Japan
John Simmers relative to Yuxiao Qin China Yuxiao Qin's profile →
Citations per field
00.5×5.7×
Yuxiao Qin · 1×
Citations per year

Countries citing papers authored by John Simmers

Since Specialization
Citations

This map shows the geographic impact of John Simmers's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Simmers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Simmers more than expected).

Fields of papers citing papers by John Simmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Simmers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Simmers. The network helps show where John Simmers may publish in the future.

Co-authors

The 24 scholars most cited alongside John Simmers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Simmers Line = papers co-authored together John Simmers links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2004103
2 200475
3 201260
4 200746
5 201141
6 200138
7 199525
8 200625
9 201223
10 200923
11 201619
12 200619
13 200819
14 201616
15 201415
16 200015
17 20188

About John Simmers

John Simmers is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Ecology and Molecular Biology, having authored 17 papers that have together received 570 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (12 papers), Physiological and biochemical adaptations (4 papers), Neurobiology and Insect Physiology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Retinal Development and Disorders (3 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (225 citations), Cell Biology (184 citations), Developmental Neuroscience (36 citations), Neurology (71 citations) and Endocrine and Autonomic Systems (57 citations). John Simmers has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Denis Combes, Keith T. Sillar, Hans Straka, Guoqing Zhou, Penggen Cheng, Stefan Clemens, David Belin, D. Le Ray, Sankari Ramanathan and Pierre Meyrand. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Developmental Neurobiology, Biological Cybernetics and Brain Research Reviews.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact